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24 / 2024-07-05 20:15:19
Sensorless Position Estimation Method for SRM With Anti-Magnetic Saturation Capability Based on Inductance Vector Online Identification
position estimation,magnetic saturation,inductance vector,online identification,witched reluctance motor (SRM)
3.Electric Machine Design and Control > 2.Electric machine drives
Final Paper
Ziqi Zhao / Huazhong University of Science and Technology；State Key Laboratory of Advanced Electromagnetic Engineering and Technology
Jianbo Sun / Huazhong University of Science and Technology；State Key Laboratory of Advanced Electromagnetic Engineering and Technology
Shuixi Zhang / State Grid Henan Electric Power Company Luohe Power Supply Company
Honggang Wang / Henan Tailong Power EquipmentCo., LTD
Chun Gan / Huazhong University of Science and Technology；State Key Laboratory of Advanced Electromagnetic Engineering and Technology
Shuanghong Wang / Huazhong University of Science and Technology；State Key Laboratory of Advanced Electromagnetic Engineering and Technology
Sinian Su / Huazhong University of Science and Technology；State Key Laboratory of Advanced Electromagnetic Engineering and Technology
Ronghai Qu / Huazhong University of Science and Technology；State Key Laboratory of Advanced Electromagnetic Engineering and Technology
In this paper, a switched reluctance motor sensorless position estimation method based on inductance vector online identification is proposed, where the rotor position estimation error caused by the electromagnetic saturation effect can be eliminated by the developed online inductance identification method. Considering the operating characteristics of the SRM, the three-phase winding will not be saturated at the same time. On this basis, this paper proposes a new position calculation method, which eliminates the influence of the relative position estimation error caused by the saturated inductance. For the SRM in the saturated operating state, the rotor position information can be calculated more accurately, and the inductance information does not need to be stored offline. The effectiveness of the proposed method is verified by simulation, which provides a feasible solution for SRM rotor position information estimation under magnetic saturation.
Important Date

  • Conference Date

    Nov 06

    2024

    to

    Nov 08

    2024

  • Sep 15 2024

    Draft paper submission deadline

  • Nov 08 2024

    Registration deadline

Sponsored By
Huazhong University of Science and Technology
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